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Leibniz-Institut für Präventionsforschung und Epidemiologie – BIPS GmbH | Bremen, Bremen | Germany | 2 days ago
research programs and activities at the institute beyond their thesis projects. The working language is English. PhD Program: Education component A structured doctoral education complements the research
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exploring other ongoing research programs and activities at the institute beyond their thesis projects. The working language is English. PhD Program: Education component A structured doctoral education
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Science. Details: https://www.lifescience.net/jobs/215445/bips-phd-program-in-epidemiolog… Where to apply Website https://www.lifescience.net/jobs/215445/bips-phd-program-in-epidemiology-statis
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the following fields: PhD in Atmospheric and Oceanic Science and Technology Female applicants and candidates from less privileged regions or groups are especially encouraged to participate in the programme
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guidelines into formal ontologies and knowledge graphs Design and develop modules for Medical Informatics Initiative (MII)/FHIR interoperability of the research prototype Work closely with clinicians and data
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for motivated individuals skilled in computer science/computational biology/bioinformatics with the desire to make a difference for people suffering from mental health problems. A Masters Degree in (Bio
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mathematics, computational materials science or a related field, or other education considered equivalent to these qualifications. We require good oral and written skills in English. Additional qualifications
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of additively manufactured Mg alloys for biodegradable implant applications. Host: Helmholtz-Zentrum Hereon
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American Studies, Greek Studies, Latin Studies, Book Science, Museum Studies, Documentation Science, Cultural Anthropology, Anthropology, Ethnology, German Studies, Ancient History, Ancient Studies, Ancient
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. Qualifications: • Completed academic university degree (Master level) in mathematics, computer sciences, physics or a related discipline • Knowledge of programming, machine learning methods, mechanistic modelling